Nursing Students' Learning in High Fidelity Simulation: An Ethnographic Study
Notice bibliographique
Résumé
Understanding what happens to students’ learning in high-fidelity simulation (HFS) is important as we build our knowledge around the use of HFS in nursing education. Research in the area of high-fidelity is emerging at a rapid pace, however much of the literature surrounds the area of self-efficacy and or that of outcomes related to the clinical skill performance in HFS. To date there has been little research that examines what happens in HFS that affects nursing students’ learning. The purpose of this thesis was to look at the culture of learning in HFS in undergraduate nursing education. Specific areas that were explored were students’ and instructors’ views about: the use of HFS on student learning, what it is like to participate in HFS, and factors that either enhance or impair the simulated clinical experience. Using the ethnographic method, participant observations were conducted over a period of two academic terms. A convenience sample of 12 students and two clinical instructors were interviewed regarding their perspectives, and 20 instructors participated in one of two focus groups. The interviews and observations yielded rich data that was initially coded and then segmented to form themes. Member checks were conducted to ensure rigor. To triangulate data, four reflective journals were also used in this focused ethnographic study. The key findings were that students believed that the level of instructor involvement at critical points during HFS was important and instructors believed that their comfort level in teaching with HFS had an important influence on teaching and subsequently learning in HFS. Other factors that enhanced or impaired the simulated clinical experience included realism, the ability to make mistakes in HFS and the specific roles assigned to students during HFS. An important limitation of the study was the possible bias that might have resulted from the researcher’s extensive experience with HFS. A major implication for practice pertains to the preparation of faculty and students for HFS. How students’ mistakes during HFS inform their clinical practicum is an important question to address in future research.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».